Knowledge Representation of Natural Language in High Performance Linguistics Scheme

Applying human cognition to a search engine for information retrieval is an emerging task employed to various implementations and one among them is natural language understanding by the machine in a semantic manner. Natural language processing systems will be constructed using inference engines along with a knowledge base (KB) to store rules and facts. High-Performance Linguistics (HPL) Scheme is an expert Knowledge base-Natural Language Processing System (K-NLP) that encompasses predicate clauses. Principally this paper focuses about knowledge representation module of the System. It utilizes the first-order logic which is a formal language that is used to train the semantic search engines to give effective results for natural language through the knowledge base. Thus the machine provides relevant and accurate information for the user queries by preserving semantics of the natural language query.